龙须草的生长习性、繁殖方法和高产栽培技术

本文介绍了龙须草的生长习性、繁殖方法、水土保持栽培方法和高产栽培密度,以及其施肥技术     

Feasibility and simulation model of a pilot scale membrane bioreactor for wastewater treatment and reuse from Chinese traditional medicine

The lack and pollution of water resource make wastewater reuse necessary. The pilot scale long-term tests for submerged membrane bioreactor were conducted to treat the effluents of anaerobic or aerobic treatment process for the high-strength Chinese traditional medicine wastewater. This article was focused on the feasibility of the wastewater treatment and reuse at shorter hydraulic retention time （HRT） of 5.0, 3.2 and 2.13 h. MLSS growth, membrane flux, vacuum values and chemical cleaning periods were also investigated. The experimental results of treating two-phase anaerobic treatment effluent demonstrated that the CODfilt was less than 100 mg/L when the influent COD was between 500-10000 mg/L at HRT of 5.0 h, which could satisfy the normal discharged standard in China. The experimental results to treat cross flow aerobic reactor effluent demonstrated that the average value of CODfilt was 17.28 mg/L when the average value of influent COD was 192.84 mg/L at HRT of 2.13 h during 106 d, which could completely meet the normal standard for water reuse. The maximum MLSS and MLVSS reached 24000 and 14500 mg/L at HRT of 3.2 h respectively. Membrane flux had maximal resume degrees of 94.7% at vacuum value of 0.02 MPa after cleaning. Chemical cleaning periods of membrane module were 150 d. A simulation model of operational parameters was also established based on the theory of back propagation neural network and linear regression of traditional mathematical model. The simulation model showed that the optimum operational parameters were suggested as follows： HRT was 5.0 h, SRT was 100 d, the range of COD loading rate was between 10.664-20.451 kg/（m3.d）, the range of MLSS was between 7543-13694 mg/L.     

基于人工神经网络的莺落峡月径流模拟预测

莺落峡是黑河干流出山口径流量的重要控制站,莺落峡径流量的多少直接影响着该流域经济、社会的发展和生态环境保护,水资源分配和调度的管理和决策。论文基于人工神经网络,对莺落峡径流进行了模拟预测。将月径流分为汛期和非汛期,分别建立BP人工神经网络,通过对径流分类前后的模型进行比较,发现分类后的月径流BP模型的性能显然优于未分类的模型,故此设计了4种不同气候情景,采用分类后的模型对莺落峡2030年的径流量进行了预测。即,在降水量不变、气温增加0.5℃,2030年莺落峡年径流量将增加8.92%;气温增加1℃、降水量不变,年径流量将减少5.414%;气温不变、降水量增加10%,年径流量将增加9.905%;气温增加0.5℃、降水量增加10%,年径流量将增加8.98%。     

麻疯树愈伤组织的诱导及快速繁殖

以麻疯树(Jatropha curcas)的种子、叶柄、叶片为实验材料进行愈伤组织的诱导及快速繁殖的实验．用不同浓度的BA和IBA对其不同外植体进行试验，发现用MS培养基加0．5mg／LBA和1mg／L IBA对叶片的效果最佳．在相同BA浓度处理条件下，减小IBA浓度会对下胚轴愈伤组织的出芽产生明显的效果．叶柄要求的浓度更低，0．1mg／L BA和0．1mg／L IBA为最佳．不定芽在无激素的MS培养基中进行生根培养，通过几天的练苗过程，就能转到土壤中生长．图1表2参13     

基于人工神经网络的夜光藻密度预测模型

利用人工神经网络 BP算法 ,对各种理化因子与赤潮中夜光藻密度建立了人工神经网络预报模型 ,并利用该模型对各种理化因子与夜光藻密度的非线性对应规律进行了研究。结果表明 ,模型较好地反映了存在的对应规律     

森林大火中飞火行为的研究

从理论上分析了飞火的形成过程,建立了飞火形成及传播过程的理论模型,探讨了各种因素对飞火过程的影响,给出了用诺谟图估算飞火距离的方法。这些工作对森林火灾中飞火距离的估算具有重要的理论意义和实际意义。由于飞火形成过程的复杂性,以及模型建立过程中所进行的假定等因素,本文所提出的飞火估算模型仍有待于大量的林火实践进行修正。     

松材线虫对其携带的一株细菌繁殖和致病性的影响

采用黑松(Pinusthunbergii)无菌苗和愈伤组织的接种试验证明,松材线虫携带的洋葱伯克霍尔德氏菌(Burk-holderiacepacia)B619菌株的繁殖及对黑松的致病性受松材线虫的影响.进一步的研究表明,松材线虫的分泌物及死尸均可促进该菌株的生长繁殖和致病作用,且活线虫的促进作用比死尸更加显著,这可能是由于松材线虫提供给该菌株某些重要的营养物质.试验还发现,松材线虫分泌液经高温处理后对致病细菌繁殖的促进活性下降.表5参18     

香花槐组培苗快繁体系的建立及工厂化育苗的主要影响因素

建立了香花槐组培苗快繁无性系．在改良MS培养基中添加ρ(6-BA)／mg L^-1=0．35～0．5、ρ(NAA)／mg L^-1=0．05～0．08，ρ(GA3)／mg L^-1=0．07～0．1作为生长培养基．在丛生芽诱导培养基中，ρ(6-BA)／mg L^-1=0．8～1．4，其余成分同生长培养基．两种培养方法同时使用，保证了组培苗繁殖系数为5左右．生根培养基中大量元素为MS基本培养基的1／4，ρ(IBA)／mg L^-1=0．1～0．5、ρ(IAA)／mg L^-1=1．7～2．5，香花槐组培苗的生根率为90％．炼苗后组培苗的移栽成活率为85％，且植株表型未见变异．将MS基本培养基中硝酸钾的含量由1.9g／L提高至2．199～2．931g／L，可满足每代香花槐试管苗生长25～35d期间对钾的需求．将培养基中6-BA的含量降至0．4mg／L，并采用合适的组培容器，在连续培养2、3代后，可将超度含水态苗的发生频率控制在10％以下，在6mo内生产100万株香花槐组培移栽苗．图1表1参16     

Nonrandom, Size- and Timing-Biased Breeding in a Hatchery Population of Steelhead Trout

Abstract:  Hatcheries have been built and operated to buffer salmon and trout populations from overfishing and to compensate for habitat lost or degraded by human activities. These facilities are now so prevalent that in some cases hatchery-produced salmon outnumber salmon produced in the wild. By default, this makes them an important component in the current ecology and evolution of salmonids. Hatcheries differ from natural environments in many ways, and among the most fundamental is the necessity that humans select fish for breeding instead of allowing natural processes of mate choice and competition. We examined the mating system for steelhead trout ( Oncorhynchus mykiss ) at Forks Creek Hatchery in southwest Washington and investigated factors affecting selection of individual steelhead for spawning by the hatchery staff. Despite efforts by the staff to not spawn selectively, data on steelhead spawned over 7 years revealed selection for large adult body size and early reproductive timing and a tendency for size-assortative mating (i.e., large with large). Selection on size was related to selection on reproductive timing because early returning fish tended to be larger than those returning later. To improve the fitness of both hatchery fish destined to spawn in the wild and hatchery fish designated to be spawned in the hatchery, a better understanding of factors associated with the range of reproductive success and mate-choice mechanisms in the wild is vital. This knowledge may then be applied to artificial propagation programs designed for conservation or enhancement.     

Uncertainty analysis of emission estimates in the RAINS integrated assessment model

Uncertainty is a critical issue for all models that attempt to quantify the necessary emission reductions that are required to meet environmental quality targets. This paper discusses a methodology specifically developed to analyse the uncertainties in the emission estimates with the regional air pollution information and simulation (RAINS) integrated assessment model, considering the uncertainties in the model parameters themselves. Overall, it was found that a typical range of uncertainties for modeled national emissions of sulfur dioxide, nitrogen oxides and ammonia in Europe lies between 10 and 30%. In general, the uncertainties are strongly dependent on the potential for error compensation. This compensation potential is larger (and uncertainties are smaller) if calculated emissions are composed of a larger number of equal-sized source categories, where the errors in input parameters are not correlated with each other. Thus, estimates of the national total emissions are generally more certain than estimates of sectoral emissions. A sensitivity analysis with respect to the uncertainty in input parameters showed that the actual uncertainties are critically influenced by the specific situation (pollutant, year, country). However, the emission factor is an important contributor to the uncertainty in estimates of historical emissions, while uncertainty in the activity data dominates the future estimates.